10 Principles for Building a More Trustworthy AI for Amazon Sellers

Christian Umbach

Creating trustworthy AI for eCommerce merchants involves maintaining high standards in key areas. In our ongoing commitment to deliver AI tools that merchants can trust, we are expanding our framework with new guidelines.

1. Clean Data to Work With

Our real-time sync of Amazon data and stringent quality control processes ensure that our AI tools have a reliable and clean data structure to work with. This includes data from various operational areas such as ads, financial events, orders, inventory, and brand analytics.

2. Profit-Driven Performance

By understanding the profitability of each product, our AI can compute the profitability of each action and prioritize accordingly. This way, we ensure that your business performance is always front and center.

3. Guided AI Approach

We closely align our AI with Amazon's guidelines, implement guardrails to avoid algorithmic errors, and use a moderation service to verify the outputs before publishing.

4. Real-World Testing

Our AI tools run a series of checks when pushing updates to Amazon. Performance tests are also run against a benchmark group to ensure that key metrics are stable and improving.

5. Augmenting the Merchant

Our AI tools are designed to augment, not replace, the merchant. You remain in control, with the power to overwrite and course correct any actions that our AI system proposes.

6. Data Security and Privacy

We handle data processing in compliance with our privacy policy. Personal identifiable information is not passed on to the algorithm, and data submitted to our machine learning services is only used for service improvements within a controlled environment.

7. Transparency and Explainability

For every AI action, there is a clear explanation available for users about the basis of that action. This level of transparency increases trust in our AI systems.

8. Continuous Learning and Adaptability

Our AI systems adapt and improve over time. Feedback mechanisms and the ability to adapt to changing market trends and business needs are integral to our tools.

9. User-Friendly Interface

Our AI tools are designed with the user in mind. We ensure that our systems are intuitive, easy to navigate, and come with clear instructions.

10. Robust Error Handling and Recovery

Our AI systems have robust error handling and recovery protocols in place. In the event of a system failure or error, there are mechanisms for quickly identifying, diagnosing, and resolving the issue.

By following this expanded framework, we are continuing to build AI tools that not only deliver results but also ensure a trustworthy, reliable, and user-friendly experience for Amazon sellers. Trust is a journey, and at Autopilot, we're committed to making it a successful one for all our merchants.